Optimal Mobile Crowdsensing Incentive Under Sensing Inaccuracy

Due to the pervasive adoption of sensor-embedded mobile devices yet increasing demand on data and computing resources, mobile crowdsensing is a promising paradigm with rapid growth. One of the most challenging issues is how to maximize the utilities of crowdsensing platforms under inaccurate distributed sensing. The nature of such inaccuracy is due to the fact that energy-based sensing can be grea...